_____________________________________________________________________
SUMMARY
This project seeks to investigate techniques that help in coping with large volumes of data that cannot be handled with the available resources at hand, in the context of stream processing systems. Specifically, the project team will study joint system-application optimization techniques for more effective load shedding than system-only and application-only approaches and smart compression techniques (both lossy and lossless) for streaming transports with the aim of improving both techniques.
_____________________________________________________________________
SOLUTIONS
- Producing a registration interface to help bridge load shedding decisions and techniques by helping the middleware to reason about the Quality of Service of applications
- Taking advantage of the differing characteristics of different stream attributes with respect to compression ratio, cost, and size, so as to adapt runtime dynamics to such changes in the bandwidth availability, CPU availability, and workload availability
_____________________________________________________________________
LINK: http://www.cs.bilkent.edu.tr/~bgedik/bildids/doku.php/projects:loadmanage
_____________________________________________________________________